Skip to main content
Log in

Cognitive- and Emotion-Related Dysfunctional Coping Processes: Transdiagnostic Mechanisms Explaining Depression and Anxiety’s Relations with Problematic Smartphone Use

  • Technology Addiction (J Billieux, Section Editor)
  • Published:
Current Addiction Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Depression and anxiety symptoms typically demonstrate relationships with problematic smartphone use (PSU) across the literature. However, mechanisms involved in these relationships have not been widely reported. In this paper, we focus on important but relatively neglected transdiagnostic mechanisms between depression and anxiety with PSU, involving maladaptive cognitive and emotion processes. Cognitive processes we discuss include repetitive negative thinking (i.e., rumination and worry), boredom proneness, and the fear of missing out (FOMO). Emotion processes we discuss include emotion dysregulation and distress intolerance.

Recent Findings

Studies demonstrate support for maladaptive cognitive and emotion processes correlating with PSU severity, and serving as mediators between anxiety and depression with PSU.

Summary

Maladaptive cognitive and emotion processes are important transdiagnostic mechanisms that can account for relationships between depression and anxiety with PSU, and should be further studied.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Statista. Number of smartphone users worldwide from 2014 to 2020 (in billions): Statista; 2016, June [Available from: https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/.

  2. Montag C, Diefenbach S. Towards Homo Digitalis: important research issues for psychology and the neurosciences at the dawn of the Internet of Things and the digital society. Sustainability. 2018;10(2):415.

    Article  Google Scholar 

  3. Montag C, Blaszkiewicz K, Sariyska R, Lachmann B, Andone I, Trendafilov B, et al. Smartphone usage in the 21st century: who is active on WhatsApp? BMC Res Notes. 2015;8:331.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Montag C, Walla P, Koller M. Carpe diem instead of losing your social mind: beyond digital addiction and why we all suffer from digital overuse. Cogent Psychol. 2016;3(1):1157281.

    Article  Google Scholar 

  5. Duke E, Montag C. Smartphone addiction, daily interruptions and self-reported productivity. Addict Behav Rep. 2017;6:90–5.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kushlev K, Proulx J, Dunn EW. “Silence your phones”: smartphone notifications increase inattention and hyperactivity symptoms. Proceedings of ACM CHI 2016, pp 1011–10202016.

  7. Hadar A, Hadas I, Lazarovits A, Alyagon U, Eliraz D, Zangen A. Answering the missed call: initial exploration of cognitive and electrophysiological changes associated with smartphone use and abuse. PLoS One. 2017;12(7):e0180094.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Kushlev K, Dunn EW. Smartphones distract parents from cultivating feelings of connection when spending time with their children. J Soc Pers Relat. in press.

  9. Dwyer RJ, Kushlev K, Dunn EW. Smartphone use undermines enjoyment of face-to-face social interactions. J Exp Soc Psychol. 2018;78:233–9.

    Article  Google Scholar 

  10. Kushlev K, Hunter JF, Proulx J, Pressman SD, Dunn E. Smartphones reduce smiles between strangers. Comput Hum Behav. 2019;91:12–6.

    Article  Google Scholar 

  11. Lachmann B, Sindermann C, Sariyska RY, Luo R, Melchers MC, Becker B, et al. The role of empathy and life satisfaction in Internet and smartphone use disorder. Front Psychol. 2018;9:398.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Melchers M, Li M, Chen Y, Zhang W, Montag C. Low empathy is associated with problematic use of the Internet: empirical evidence from China and Germany. Asian J Psychiatr. 2015;17:56–60.

    Article  PubMed  Google Scholar 

  13. Scholz R, Bartelsman E, Diefenbach S, Franke L, Grunwald A, Helbing D, et al. Unintended side effects of the digital transition: European scientists’ messages from a proposition-based expert round table. Sustainability. 2018;10(6):2001.

    Article  Google Scholar 

  14. • De-Sola Gutierrez J, Rodriguez de Fonseca F, Rubio G. Cell-phone addiction: a review. Front Psychol. 2016;7:175 This paper reviews the literature on PSU and relations with a variety of psychological and personality constructs.

    Google Scholar 

  15. • Elhai JD, Dvorak RD, Levine JC, Hall BJ. Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology. J Affect Disord. 2017;207:251–9 This paper reviews the literature on PSU and relations with psychopathology constructs.

    Article  PubMed  Google Scholar 

  16. Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: a review of the literature and conceptual frameworks. J Anxiety Disord. 2019;62:45–52.

    Article  PubMed  Google Scholar 

  17. Vahedi Z, Saiphoo A. The association between smartphone use, stress, and anxiety: a meta-analytic review. Stress Health. 2018;34(3):347–58.

    Article  PubMed  Google Scholar 

  18. •• Billieux J, Maurage P, Lopez-Fernandez O, Kuss DJ, Griffiths MD. Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Curr Addict Rep. 2015;2(2):156–62 This paper comprehensively discusses the major pathways that influence PSU.

    Article  Google Scholar 

  19. Sha P, Sariyska R, Riedl R, Lachmann B, Montag C. Linking Internet communication and smartphone use disorder by taking a closer look at the Facebook and WhatsApp applications. Addict Behav Rep. in press.

  20. Montag C, Blaszkiewicz K, Lachmann B, Sariyska R, Andone I, Trendafilov B, et al. Recorded behavior as a valuable resource for diagnostics in mobile phone sddiction: evidence from psychoinformatics. Behav Sci. 2015;5(4):434–42.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Boase J, Ling R. Measuring mobile phone use: self-report versus log data. J Comput-Mediat Commun. 2013;18(4):508–19.

    Article  Google Scholar 

  22. Elhai JD, Tiamiyu MF, Weeks JW, Levine JC, Picard KJ, Hall BJ. Depression and emotion regulation predict objective smartphone use measured over one week. Personal Individ Differ. 2018;133:21–8.

    Article  Google Scholar 

  23. Rozgonjuk D, Levine JC, Hall BJ, Elhai JD. The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week. Comput Hum Behav. 2018;87:10–7.

    Article  Google Scholar 

  24. Markowetz A, Blaszkiewicz K, Montag C, Switala C, Schlaepfer TE. Psycho-informatics: Big Data shaping modern psychometrics. Med Hypotheses. 2014;82(4):405–11.

    Article  PubMed  Google Scholar 

  25. Montag C, Reuter M, Markowetz A. The impact of psychoinformatics on Internet addiction including new evidence. In: Montag C, Reuter M, editors. Internet addiction, studies in neuroscience, psychology and behavioral economics. New York, New York: Springer, Cham; 2017. p. 221–9.

  26. Montag C. The neuroscience of smartphone/social media usage and the growing need to include methods from ‘Psychoinformatics’. In: Davis F, Riedl R, vom Brocke J, Léger PM, Randolph A, editors. Information systems and neuroscience lecture notes in information systems and organisation 29. New York, New York: Springer, Cham; 2019. p. 275–83.

  27. Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict. 2018;7(2):252–9.

    Article  PubMed  PubMed Central  Google Scholar 

  28. İNal EE, Demİrcİ K, Çetİntürk A, Akgönül M, Savaş S. Effects of smartphone overuse on hand function, pinch strength, and the median nerve. Muscle Nerve. 2015;52(2):183–8.

    Article  PubMed  Google Scholar 

  29. Xie Y, Szeto GP, Dai J, Madeleine P. A comparison of muscle activity in using touchscreen smartphone among young people with and without chronic neck-shoulder pain. Ergonomics. 2016;59(1):61–72.

    Article  PubMed  Google Scholar 

  30. Thompson LL, Rivara FP, Ayyagari RC, Ebel BE. Impact of social and technological distraction on pedestrian crossing behaviour: an observational study. Inj Prev. 2013;19(4):232–7.

    Article  PubMed  Google Scholar 

  31. Cazzulino F, Burke RV, Muller V, Arbogast H, Upperman JS. Cell phones and young drivers: a systematic review regarding the association between psychological factors and prevention. Traffic Injury Prevention. 2014;15(3):234–42.

    Article  PubMed  Google Scholar 

  32. World Health Organization. ICD-11 for mortality and morbidity statistics. 2018.

  33. Davis RA. A cognitive-behavioral model of pathological Internet use. Comput Hum Behav. 2001;17(2):187–95.

    Article  Google Scholar 

  34. Montag C, Bey K, Sha P, Li M, Chen YF, Liu WY, et al. Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China. Asia Pac Psychiatry. 2015;7(1):20–6.

    Article  PubMed  Google Scholar 

  35. Muller M, Brand M, Mies J, Lachmann B, Sariyska RY, Montag C. The 2D:4D marker and different forms of Internet use disorder. Front Psychiatry. 2017;8:213.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Wegmann E, Brand M. Internet-communication disorder: it’s a matter of social aspects, coping, and Internet-use expectancies. Front Psychol. 2016;7:1747.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Montag C, Zhao Z, Sindermann C, Xu L, Fu M, Li J, et al. Internet communication disorder and the structure of the human brain: initial insights on WeChat addiction. Sci Report. 2018;8(1):2155.

    Article  CAS  Google Scholar 

  38. • Mansell W, Harvey AG, Watkins ER, Shafran R. Cognitive behavioral processes across psychological disorders: a review of the utility and validity of the transdiagnostic approach. Int J Cogn Ther. 2008;1(3):181–91 This paper discusses transdiagnostic psychopathology constructs and their importance.

    Article  Google Scholar 

  39. Leyro TM, Zvolensky MJ, Bernstein A. Distress tolerance and psychopathological symptoms and disorders: a review of the empirical literature among adults. Psychol Bull. 2010;136(4):576–600.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Brand M, Laier C, Young KS. Internet addiction: coping styles, expectancies, and treatment implications. Front Psychol. 2014;5:1256.

    PubMed  PubMed Central  Google Scholar 

  41. •• Brand M, Young KS, Laier C, Wolfling K, Potenza MN. Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: an Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neurosci Biobehav Rev. 2016;71:252–66 This paper discusses and elaborates on the I-PACE model of excessive Internet use.

    Article  PubMed  Google Scholar 

  42. Dempsey A, O’Brien KD, Tiamiyu M, Elhai JD. Fear of missing out (FoMO) and rumination mediate relations between social anxiety and problematic Facebook use. Addict Behav Rep. in press.

  43. Oberst U, Wegmann E, Stodt B, Brand M, Chamarro A. Negative consequences from heavy social networking in adolescents: the mediating role of fear of missing out. J Adolesc. 2017;55:51–60.

    Article  PubMed  Google Scholar 

  44. Lemenager T, Hoffmann S, Dieter J, Reinhard I, Mann K, Kiefer F. The links between healthy, problematic, and addicted Internet use regarding comorbidities and self-concept-related characteristics. J Behav Addict. 2018;7(1):31–43.

    Article  PubMed  PubMed Central  Google Scholar 

  45. McEvoy PM, Watson H, Watkins ER, Nathan P. The relationship between worry, rumination, and comorbidity: evidence for repetitive negative thinking as a transdiagnostic construct. J Affect Disord. 2013;151(1):313–20.

    Article  PubMed  Google Scholar 

  46. Ehring T, Watkins ER. Repetitive negative thinking as a transdiagnostic process. Int J Cogn Ther. 2008;1(3):192–205.

    Article  Google Scholar 

  47. Borkovec TD, Ray WD, Stöber J. Worry: a cognitive phenomenon intimately linked to affective, physiological, and interpersonal behavioral processes. Cognit Ther Res. 1998;22(6):561–76.

    Article  Google Scholar 

  48. Newman MG, Llera SJ, Erickson TM, Przeworski A, Castonguay LG. Worry and generalized anxiety disorder: a review and theoretical synthesis of evidence on nature, etiology, mechanisms, and treatment. Annu Rev Clin Psychol. 2013;9:275–97.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Mennin DS, Fresco DM. What, me worry and ruminate about DSM-5 and RDoC? The importance of targeting negative self-referential processing. Clin Psychol Sci Pract. 2013;20(3):258–67.

    Article  Google Scholar 

  50. Nolen-Hoeksema S, Wisco BE, Lyubomirsky S. Rethinking rumination. Perspect Psychol Sci. 2008;3(5):400–24.

    Article  PubMed  Google Scholar 

  51. Joormann J, Gotlib IH. Emotion regulation in depression: relation to cognitive inhibition. Cognit Emot. 2010;24(2):281–98.

    Article  Google Scholar 

  52. Aldao A, Nolen-Hoeksema S, Schweizer S. Emotion-regulation strategies across psychopathology: a meta-analytic review. Clin Psychol Rev. 2010;30(2):217–37.

    Article  PubMed  Google Scholar 

  53. Olatunji BO, Naragon-Gainey K, Wolitzky-Taylor KB. Specificity of rumination in anxiety and depression: a multimodal meta-analysis. Clin Psychol Sci Pract. 2013;20(3):225–57.

    Article  Google Scholar 

  54. Liu Q-Q, Zhou Z-K, Yang X-J, Kong F-C, Niu G-F, Fan C-Y. Mobile phone addiction and sleep quality among Chinese adolescents: a moderated mediation model. Comput Hum Behav. 2017;72:108–14.

    Article  Google Scholar 

  55. Elhai JD, Tiamiyu MF, Weeks JW. Depression and social anxiety in relation to problematic smartphone use: the prominent role of rumination. Internet Res. 2018;28(2):315–32.

    Article  Google Scholar 

  56. Elhai JD, Contractor AA. Examining latent classes of smartphone users: relations with psychopathology and problematic smartphone use. Comput Hum Behav. 2018;82:159–66.

    Article  Google Scholar 

  57. Elhai JD, Rozgonjuk D, Yildirim C, Alghraibeh AM, Alafnan AA. Worry and anger are associated with latent classes of problematic smartphone use severity. J Affect Disord. 2019;246:209–16.

    Article  PubMed  Google Scholar 

  58. Lahey BB. Public health significance of neuroticism. Am Psychol. 2009;64(4):241–56.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Lachmann B, Duke É, Sariyska R, Montag C. Who’s addicted to the smartphone and/or the Internet? Psychology of popular media culture. in press.

  60. Eastwood JD, Frischen A, Fenske MJ, Smilek D. The unengaged mind: defining boredom in terms of attention. Perspect Psychol Sci. 2012;7(5):482–95.

    Article  PubMed  Google Scholar 

  61. Goldberg YK, Eastwood JD, Laguardia J, Danckert J. Boredom: an emotional experience distinct from apathy, anhedonia, or depression. J Soc Clin Psychol. 2011;30(6):647–66.

    Article  Google Scholar 

  62. Sommers J, Vodanovich SJ. Boredom proneness: its relationship to psychological- and physical-health symptoms. J Clin Psychol. 2000;56(1):149–55.

    Article  CAS  PubMed  Google Scholar 

  63. Struk AA, Carriere JSA, Cheyne JA, Danckert J. A short boredom proness scale: development and psychometric properties. Assessment. 2017;24(3):346–59.

    Article  PubMed  Google Scholar 

  64. Isacescu J, Struk AA, Danckert J. Cognitive and affective predictors of boredom proneness. Cognit Emot. 2017;31(8):1741–8.

    Article  Google Scholar 

  65. Castaneda AE, Tuulio-Henriksson A, Marttunen M, Suvisaari J, Lonnqvist J. A review on cognitive impairments in depressive and anxiety disorders with a focus on young adults. J Affect Disord. 2008;106(1–2):1–27.

    Article  PubMed  Google Scholar 

  66. Elhai JD, Vasquez JK, Lustgarten SD, Levine JC, Hall BJ. Proneness to boredom mediates relationships between problematic smartphone use with depression and anxiety severity. Soc Sci Comput Rev. 2018;36(6):707–20.

    Article  Google Scholar 

  67. Duke E, Montag C. Smartphone addiction and beyond: initial insights on an emerging research topic and its relationship to Internet addiction. In: Montag C, Reuter M, editors. Internet addiction, studies in neuroscience, psychology and behavioral economics. New York, New York: Springer, Cham; 2017. p. 359–72.

  68. Lin TTC, Chiang Y-H. Investigating predictors of smartphone dependency symptoms and effects on academic performance, improper phone use and perceived sociability. Int J Mob Commun. 2017;15(6):655–76.

    Article  Google Scholar 

  69. Lepp A, Barkley JE, Sanders GJ, Rebold M, Gates P. The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. Int J Behav Nutr Phys Act. 2013;10:79.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Wegmann E, Ostendorf S, Brand M. Is it beneficial to use Internet-communication for escaping from boredom? Boredom proneness interacts with cue-induced craving and avoidance expectancies in explaining symptoms of Internet-communication disorder. PLoS One. 2018;13(4):e0195742.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  71. Przybylski AK, Murayama K, DeHaan CR, Gladwell V. Motivational, emotional, and behavioral correlates of fear of missing out. Comput Hum Behav. 2013;29(4):1841–8.

    Article  Google Scholar 

  72. Fuster H, Chamarro A, Oberst U. Fear of missing out, online social networking and mobile phone addiction: a latent profile approach. Revista de Psicologia, Ciències de l’Educació i de l’Esport. 2017;35(1):23–30.

    Google Scholar 

  73. Wolniewicz CA, Tiamiyu MF, Weeks JW, Elhai JD. Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Res. 2018;262:618–23.

    Article  PubMed  Google Scholar 

  74. Elhai JD, Levine JC, Alghraibeh AM, Alafnan A, Aldraiweesh A, Hall BJ. Fear of missing out: testing relationships with negative affectivity, online social engagement, and problematic smartphone use. Comput Hum Behav. 2018;89:289–98.

    Article  Google Scholar 

  75. Elhai JD, Levine JC, Dvorak RD, Hall BJ. Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Comput Hum Behav. 2016;63:509–16.

    Article  Google Scholar 

  76. Wegmann E, Oberst U, Stodt B, Brand M. Online-specific fear of missing out and Internet-use expectancies contribute to symptoms of Internet-communication disorder. Addict Behav Rep. 2017;5:33–42.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Liu C, Ma J. Social support through online social networking sites and addiction among college students: the mediating roles of fear of missing out and problematic smartphone use. Curr Psychol. in press.

  78. Gezgin DM. Relationship among smartphone addiction, age, lack of sleep, fear of missing out and social networking sites use among high school students. Cypriot J Educ Sci. 2018;13(1):409–21.

    Article  Google Scholar 

  79. Gross JJ. The emerging field of emotion regulation: an integrative review. Rev Gen Psychol. 1998;2(3):271–99.

    Article  Google Scholar 

  80. Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 2003;85(2):348–62.

    Article  PubMed  Google Scholar 

  81. Sloan E, Hall K, Moulding R, Bryce S, Mildred H, Staiger PK. Emotion regulation as a transdiagnostic treatment construct across anxiety, depression, substance, eating and borderline personality disorders: a systematic review. Clin Psychol Rev. 2017;57:141–63.

    Article  PubMed  Google Scholar 

  82. Fernandez KC, Jazaieri H, Gross JJ. Emotion regulation: a transdiagnostic perspective on a new RDoC domain. Cognit Ther Res. 2016;40(3):426–40.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Simons J, Gaher RM. The Distress Tolerance Scale: development and validation of a self-report measure. Motiv Emot. 2005;29(2):83–102.

    Article  Google Scholar 

  84. Weiss NH, Sullivan TP, Tull MT. Explicating the role of emotion dysregulation in risky behaviors: a review and synthesis of the literature with directions for future research and clinical practice. Curr Opin Psychol. 2015;3:22–9.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Kardefelt-Winther D. A conceptual and methodological critique of Internet addiction research: towards a model of compensatory Internet use. Comput Hum Behav. 2014;31:351–4.

    Article  Google Scholar 

  86. Panksepp J. Cross-species affective neuroscience decoding of the primal affective experiences of humans and related animals. PLoS One. 2011;6(9):e21236.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. Davis KL, Montag C. Selected principles of Panskeppian affective neuroscience. Front Neurosci. 2019;12:1025.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Montag C, Sindermann C, Becker B, Panksepp J. An affective neuroscience framework for the molecular study of Internet addiction. Front Psychol. 2016;7:1906.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Gül H, Fırat S, Sertçelik M, Gül A, Gürel Y, Kılıç BG. Cyberbullying among a clinical adolescent sample in Turkey: effects of problematic smartphone use, psychiatric symptoms, and emotion regulation difficulties. Psychiat Clin Psych. in press.

  90. Fırat S, Gül H, Sertçelik M, Gül A, Gürel Y, Kılıç BG. The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics. Psychiatry Res. 2018;270:97–103.

    Article  PubMed  Google Scholar 

  91. Elhai JD, Levine JC, O’Brien KD, Armour C. Distress tolerance and mindfulness mediate relations between depression and anxiety sensitivity with problematic smartphone use. Comput Hum Behav. 2018;84:477–84.

    Article  Google Scholar 

  92. Contractor AA, Weiss NH, Tull MT, Elhai JD. PTSD’s relation with problematic smartphone use: mediating role of impulsivity facets. Comput Hum Behav. 2017;75:177–83.

    Article  Google Scholar 

  93. Billieux J, Van der Linden M, d’Acremont M, Ceschi G, Zermatten A. Does impulsivity relate to perceived dependence on and actual use of the mobile phone? Appl Cogn Psychol. 2007;21(4):527–37.

    Article  Google Scholar 

  94. Billieux J, Van der Linden M, Rochat L. The role of impulsivity in actual and problematic use of the mobile phone. Appl Cogn Psychol. 2008;22(9):1195–210.

    Article  Google Scholar 

  95. Billieux J, Gay P, Rochat L, Van der Linden M. The role of urgency and its underlying psychological mechanisms in problematic behaviours. Behav Res Ther. 2010;48(11):1085–96.

    Article  PubMed  Google Scholar 

  96. Cyders MA, Smith GT. Emotion-based dispositions to rash action: positive and negative urgency. Psychol Bull. 2008;134(6):807–28.

    Article  PubMed  PubMed Central  Google Scholar 

  97. Rochat L, Billieux J, Gagnon J, Van der Linden M. A multifactorial and integrative approach to impulsivity in neuropsychology: insights from the UPPS model of impulsivity. Int J Clin Exp Neuropsychol. 2018;40(1):45–61.

    Article  Google Scholar 

  98. Berg JM, Latzman RD, Bliwise NG, Lilienfeld SO. Parsing the heterogeneity of impulsivity: a meta-analytic review of the behavioral implications of the UPPS for psychopathology. Psychogical Assessment. 2015;27(4):1129–46.

    Article  Google Scholar 

  99. Montag C, Markowetz A, Blaszkiewicz K, Andone I, Lachmann B, Sariyska R, et al. Facebook usage on smartphones and gray matter volume of the nucleus accumbens. Behav Brain Res. 2017;329:221–8.

    Article  PubMed  Google Scholar 

  100. Sariyska R, Rathner EM, Baumeister H, Montag C. Feasibility of linking molecular genetic markers to real-world social network size tracked on smartphones. Front Neurosci. 2018;12:945.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

The position of CM is funded by a Heisenberg grant awarded to him by the German research Foundation (DFG, MO 2363/3-2).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haibo Yang.

Ethics declarations

Conflict of Interest

Dr. Elhai reports royalties from John Wiley and Sons, and Elsevier, and grants from Tianjin Normal University, US Department of Defense, and US National Institutes of Health outside of the submitted work. Dr. Montag reports grants from the German Research Foundation, during the conduct of the study. Dr. Haibo has nothing to disclose.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Technology Addiction

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Elhai, J.D., Yang, H. & Montag, C. Cognitive- and Emotion-Related Dysfunctional Coping Processes: Transdiagnostic Mechanisms Explaining Depression and Anxiety’s Relations with Problematic Smartphone Use. Curr Addict Rep 6, 410–417 (2019). https://doi.org/10.1007/s40429-019-00260-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40429-019-00260-4

Keywords

Navigation